Data Architect

Experis

Telford

Hybrid

GBP 107,000 - 119,000

Full time

2 days ago
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Job summary

Experis is seeking a Data Architect to lead enterprise data architecture across mixed environments, guiding governance, roadmaps and architecture design with senior stakeholders. The role emphasizes cloud adoption across AWS and Azure, data fabric and governance practices, and collaboration with delivery teams and vendors.

The position involves leadership, strategic planning and continuous improvement within the Data Platform Services landscape.

Qualifications

  • Strong experience in enterprise data architecture across complex IT estates.
  • Proven ability to drive data governance and standards.
  • Knowledge of cloud patterns in AWS and Azure.

Responsibilities

  • Define and maintain enterprise data architecture standards and patterns.
  • Review designs for compliance with architecture governance.
  • Develop strategic roadmaps for data platforms and products.
  • Engage with stakeholders across multiple delivery teams and vendors.
  • Provide architecture leadership and mentoring to technical teams.
  • Support change programmes and governance controls.

Skills

Enterprise data architecture
Cloud architecture
AWS
Azure
Stakeholder engagement

Job description

Job Title: Data Architect

Rate: £580 - £644

Clearance Required: Current SC Candidates will not be able to start until their SC clearance has been transferred

Duration: 6 months

Location: Telford - 2 days onsite per week

IR35 Status: Inside

Job Description:

The role provides client-side leadership across data architecture, solution governance, stakeholder engagement and strategic planning, while supporting the adoption of modern data technologies across cloud, on-premise and as-a-service platforms within Data Platform Services.

Key Responsibilities
Enterprise Data Architecture
  • Define, own and maintain enterprise data architecture standards, principles and patterns.
  • Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies.
  • Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches.
Architecture Governance and Assurance
  • Review proposed solutions and designs to ensure compliance with agreed architecture standards.
  • Provide architecture assurance throughout delivery lifecycles.
  • Contribute to design authorities and governance forums.
  • Support the establishment and operation of effective design governance processes and controls.
Strategic Planning and Roadmapping
  • Develop and maintain strategic roadmaps for enterprise data platforms and data products.
  • Assess the impact of business and technology change across the enterprise data landscape.
  • Support long-term technology investment planning and capability development.
Stakeholder Engagement
  • Engage with Data Platform Services, enterprise architects, programme teams, project managers, security teams, suppliers, vendors and business stakeholders.
  • Represent data architecture within business workshops and architecture forums.
  • Influence decision-making and support high-level solution design activities.
  • Build strong collaborative relationships across technical and non-technical communities.
Change Enablement
  • Support change programmes through the production and review of architecture artefacts and documentation.
  • Assess impacts to applications, data assets and business processes.
  • Ensurearchitectural implications of change are understood and appropriately managed.
Vendor and Supplier Management
  • Support supplier engagement and technical governance activities.
  • Provide guidance relating to licensing implications and technology adoption.
  • Maintain effective engagement with strategic technology partners and vendors.
Technical Leadership
  • Contribute to the Data Architecture Community of Practice.
  • Mentor and support architects, engineers and technical teams.
  • Promote best practice, innovation and continuous improvement within the organisation.
  • Provide expert advice and guidance on architectural and service management matters.
Transformation and Continuous Improvement
  • Support organisational transformation initiatives and strategic change programmes.
  • Identify opportunities to improve data management, architecture practices and delivery approaches.
  • Contribute to the development of enterprise architecture capabilities and operating models.
Key Skills and Experience
Essential
  • Strong experience in enterprise data architecture within complex organisations.
  • Ability to rapidly understand large-scale IT and data estates spanning on-premise, cloud and SaaS environments.
  • Experience assessing and managing the impact of change across enterprise application and data landscapes.
  • Knowledge of cloud architecture patterns, particularly AWS and Azure.
  • Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance.
  • Proven experience of architecture governance and design assurance processes.
  • Strong stakeholder management and influencing skills.
  • Experience working across multiple delivery teams, suppliers and business functions.
  • Excellent written and verbal communication skills.
Desirable
  • Experience operating within regulated or large public-sector environments.
  • Knowledge of modern data platform technologies and operating models.
  • Experience supporting commercial, procurement or licensing activities.
  • Contribution to architecture communities of practice or professional bodies.
Professional Competencies
  • Enterprise data architecture and standards
  • Architecture governance and assurance
  • Strategic planning and roadmapping
  • Stakeholder engagement and influencing
  • Change impact assessment
  • Vendor and commercial management
  • Technical leadership and mentoring
  • Continuous improvement and transformation leadership
  • Cloud architecture, particularly AWS and Azure
  • Enterprise data management and governance
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